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Publication search results
found 435 matches
- 2024
- Christopher J. Anders:
Debugging learning algorithms: understanding and correcting machine learning models. Technical University of Berlin, Germany, 2024 - Igor Kvasic, Derek W. Orbaugh Antillon, Dula Nad, Christopher R. Walker, Iain A. Anderson, Nikola Miskovic:
Diver-robot communication dataset for underwater hand gesture recognition. Comput. Networks 245: 110392 (2024) - Christopher Andersen, Matthias Ketzel, Ole Hertel, Jesper H. Christensen, Jørgen Brandt:
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model. Environ. Model. Softw. 176: 106010 (2024) - Christopher L. Adamson, Bonnie Alexander, Claire E. Kelly, Gareth Ball, Richard Beare, Jeanie L. Y. Cheong, Alicia J. Spittle, Lex W. Doyle, Peter J. Anderson, Marc L. Seal, Deanne K. Thompson:
Updates to the Melbourne Children's Regional Infant Brain Software Package (M-CRIB-S). Neuroinformatics 22(2): 207-223 (2024) - Medhavy Thankappan, Jon Christopherson, Simon Cantrell, Robert Ryan, Mary Pagnutti, Courtney Bright, Denis Naughton, Kathryn Ruslander, Lan-Wei Wang, David Hudson, Jerad Shaw, Shankar Nag Ramaseri Chandra, Cody Anderson:
Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites. Remote. Sens. 16(8): 1333 (2024) - Jonathan J. Waataja, Christopher N. Honda, Anders J. Asp, Raj K. Nihilani, Aydin Farajidavar:
The Duration and Intensity of High Frequency Alternating Current Influences the Degree and Recovery of Nerve Conduction Block. IEEE Trans. Biomed. Eng. 71(7): 2170-2179 (2024) - Christopher J. Anderson, Alberto Giordano:
A spatial model for the representation of emotional landscapes. Trans. GIS 28(6): 1705-1727 (2024) - Yaguang Zhang, James V. Krogmeier, Christopher Robert Anderson, David J. Love:
Large-Scale Cellular Coverage Simulation and Analyses for Follow-Me UAV Data Relay. IEEE Trans. Wirel. Commun. 23(3): 2396-2412 (2024) - Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin:
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. AAAI 2024: 21046-21054 - Christopher Davis, Andrew Caines, Øistein E. Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, Paula Buttery:
Prompting open-source and commercial language models for grammatical error correction of English learner text. ACL (Findings) 2024: 11952-11967 - Richard Cirone, Martha Anderson, Jisung Chang, Haoteng Zhao, Feng Gao, Christopher Hain:
Retiming Evaporative Stress Index to Vegetation Phenology in Iowa Croplands. Agro-Geoinformatics 2024: 1-5 - Aidan McGowan, Neil Anderson, Christopher Smith:
The use of ChatGPT to generate Summative Feedback in Programming Assessments that is Consistent, Prompt, without Bias and Scalable. AICCONF 2024: 39-43 - Max Hollingsworth, Yaguang Zhang, Todd Schumann, Christopher R. Anderson, Michael Cotton, Seyeon Kim, Sangtae Ha, Dirk Grunwald:
Repurposing Cellular Reference Signals: Accurate RSRP Measurements with Mobile Phones. DySPAN 2024: 45-50 - Brendan Young, Derek T. Anderson, James M. Keller, Fred Petry, Chris J. Michael:
The Extension Principle for Angular Domains and its Application to Spatial Relations. FUZZ 2024: 1-7 - Abby Anderson, Christopher R. Anderson:
Effects of Terrain on 3.5 GHz Propagation Modeling of Diffraction in an Urban Environment. ICC 2024: 4470-4475 - Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang, Max Hollingsworth, Christopher Robert Anderson, James V. Krogmeier, David J. Love:
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction. ICC 2024: 4863-4868 - Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima:
Adaptive Observation Cost Control for Variational Quantum Eigensolvers. ICML 2024 - Camile Sothe, Ryan Mccarthy, Christopher B. Anderson:
An Unsupervised Approach to Build a Training Dataset for Individual Tree Crown Delineation Using Airborne Lidar and Field Observations. IGARSS 2024: 5310-5315 - Yun Yang, Martha C. Anderson, Kyle R. Knipper, Feng Gao, Christopher Hain, Weina Duan, Forrest Melton, Charles Morton, John M. Volk, Zhuosen Wang:
Decreased Latency in Landsat Derived Evapotranspiration Products Using Machine Learning on Google Earth Engine. IGARSS 2024: 3054-3057 - Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh:
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 67-77 - Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr:
Poisoning Web-Scale Training Datasets is Practical. SP 2024: 407-425 - Christopher Davis, Andrew Caines, Øistein E. Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, Paula Buttery:
Prompting open-source and commercial language models for grammatical error correction of English learner text. CoRR abs/2401.07702 (2024) - Advaith Venkatramanan Sethuraman, Anja Sheppard, Onur Bagoren, Christopher Pinnow, Jamey Anderson, Timothy C. Havens, Katherine A. Skinner:
Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark. CoRR abs/2401.14546 (2024) - Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang, Max Hollingsworth, Christopher Robert Anderson, James V. Krogmeier, David J. Love:
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction. CoRR abs/2402.01969 (2024) - Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie:
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR abs/2405.18368 (2024) - Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima:
Physics-Informed Bayesian Optimization of Variational Quantum Circuits. CoRR abs/2406.06150 (2024) - Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim:
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR abs/2407.12687 (2024) - Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz:
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. CoRR abs/2407.15717 (2024)
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